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\conferenceinfo{K-CAP'11,} {June 26--29, 2011, Banff, Alberta, Canada.} 
\CopyrightYear{2011} 
\crdata{978-1-4503-0396-5/11/06} 
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\title{Gathering Lexical Linked Data and Knowledge Patterns from FrameNet}

\numberofauthors{3}

\author{
\alignauthor Andrea Nuzzolese \\
       \affaddr{\small{ISTC-CNR, STLab}}\\
       \affaddr{\small{CS Dep., University of
       Bologna,}} \affaddr{\small{Italy}}\\
       \email{\small{nuzzoles@cs.unibo.it}}
\alignauthor Aldo Gangemi \\
       \affaddr{\small {ISTC-CNR, Semantic Technology Lab,}}
       \affaddr{\small{Rome, Italy}}\\
       \email{\small{aldo.gangemi@cnr.it}}
\alignauthor Valentina Presutti \\
       \affaddr{\small {ISTC-CNR, Semantic Technology Lab,}}
       \affaddr{\small{Rome, Italy}}\\
       \email{\small{valentina.presutti@cnr.it}}}

\additionalauthors{Additional authors: FirstName FamilyName (affiliation),
email: {\texttt{name.fname@affiliation}}) and FirstName FamilyName
(affiliation), email: {\texttt{name.fname@affiliation}}).}

\maketitle

\begin{abstract}
FrameNet is an important lexical knowledge base featuring cognitive
plausibility, and grounded in a large corpus. Besides being actively used by the
NLP community, frames are a great source of knowledge patterns once converted
into a knowledge representation language. In this paper we present our
experience in converting the 1.5 XML version of FrameNet into RDF datasets
published on the Linked Open Data cloud, which are interoperable with WordNet
and other resources. In the conversion we have used Semion, a new tool that
allows a rule-based, customized pipeline from XML to RDF and OWL data. In
addition, we introduce a method to select and refactor part of the information
related to frames as full-fledged OWL knowledge patterns. This last result has
required non-trivial assumptions on how to interpret FrameNet relations as
formal knowledge.
\end{abstract}

\category{I.2.4}{Knowledge Representation Formalisms and
Methods}{Representations (procedural and rule-based), Frames and scripts}
\category{I.2.6}{Learning}{Knowledge acquisition}

\terms{Design, Experimentation, Theory}

\keywords{Knowledge Extraction, FrameNet, OWL, Semantic Web, Knowledge
Engeneering}
 

\section{Introduction}
\label{introduction}
\input{introduction}

\section{FrameNet}
\label{framenet}
\input{framenet}

\section{Bringing FrameNet to LOD}
\label{method}
\input{method}

\section{From frames to knowledge patterns}
\label{framenet-cp}
\input{framenet-cp}

\section{Related work}
\label{related-work}
\input{related-work}

\section{Discussion}
\label{discussion}
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\small{\section*{Acknowledgements}
This work has been part-funded by the European Commission under grant
agreement FP7-ICT-2007-3/ No. 231527 (IKS - Interactive Knowledge Stack).}

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